Nikolaj Thams

According to our database, Nikolaj Thams authored at least 6 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Local Independence Testing for Point Processes.

Nikolaj Thams, Niels Richard Hansen

IEEE Trans. Neural Networks Learn. Syst., April, 2024

2023

Invariant Policy Learning: A Causal Perspective.

Sorawit Saengkyongam, Nikolaj Thams, Jonas Peters, Niklas Pfister

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

2022

Evaluating Robustness to Dataset Shift via Parametric Robustness Sets.

Nikolaj Thams, Michael Oberst, David A. Sontag

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Invariant Ancestry Search.

Phillip B. Mogensen, Nikolaj Thams, Jonas Peters

Proceedings of the International Conference on Machine Learning, 2022

2021

Regularizing towards Causal Invariance: Linear Models with Proxies.

Michael Oberst, Nikolaj Thams, Jonas Peters, David A. Sontag

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values.

Sebastian Weichwald, Martin Emil Jakobsen, Phillip B. Mogensen, Lasse Petersen, Nikolaj Thams, Gherardo Varando

Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019